Continuous System Simulation describes in detail how to build mathematical simulations of systems that change continuously over time. It covers:
- Numerical integration
- Simulation of stiff systems
...- Simulation of marginally stable systems
- Simulation of noisy systems
- Model validation techniques
- Simulation verification
- The inverse problem
- Dynamic nonlinear programming
- Simulation software
- Simulation hardware
Intended for advanced undergraduates in electrical, computer, mechanical, and civil engineering, it is a highly computer-oriented text, introducing numerical methods and algorithms along with the applications and conceptual tools. Homework problems, suggestions for research projects, and open-ended questions conclude each chapter.
The NEURON Book Carnevale, Nicholas T.; Hines, Michael L.
2006.
eBook
The authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience ...communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves.
The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a ...user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying theory, demonstrates their implementation, discusses their potential limitations, and helps the user make an informed decision about the choice of one algorithm over another. Users can complete complex tasks using the embedded scripting language, and new algorithms can be developed and integrated through the SGeMS plug-in mechanism. SGeMS was the first software to provide algorithms for multiple-point statistics, and the book presents a discussion of the corresponding theory and applications. Incorporating the full SGeMS software (now available from www.cambridge.org/9781107403246), this book is a useful user-guide for Earth Science graduates and researchers, as well as practitioners of environmental mining and petroleum engineering.
We present a rigid body simulation method that can resolve small temporal and spatial details by using a quasi explicit integration scheme that is unconditionally stable. Traditional rigid body ...simulators linearize constraints because they operate on the velocity level or solve the equations of motion implicitly thereby freezing the constraint directions for multiple iterations. Our method always works with the most recent constraint directions. This allows us to trace high speed motion of objects colliding against curved geometry, to reduce the number of constraints, to increase the robustness of the simulation, and to simplify the formulation of the solver. In this paper we provide all the details to implement a fully fledged rigid body solver that handles contacts, a variety of joint types and the interaction with soft objects.
iCyst: 1 year, 1000 and more simulations through an app Balduzzi, A.; Marchegiani, G.; Andrianello, S. ...
Pancreatology : official journal of the International Association of Pancreatology (IAP) ... et al.,
July 2021, 2021-07-00, 20210701, Letnik:
21
Journal Article
The bootstrap is a versatile technique that relies on data-driven simulations to make statistical inferences. When combined with robust estimators, the bootstrap can afford much more powerful and ...flexible inferences than is possible with standard approaches such as T-tests on means. In this tutorial, we use detailed illustrations of bootstrap simulations to give readers an intuition of what the bootstrap does and how it can be applied to solve many practical problems, such as building confidence intervals for many aspects of the data. In particular, we illustrate how to build confidence intervals for measures of location, including measures of central tendency, in the one-sample case, for two independent and two dependent groups. We also demonstrate how to compare correlation coefficients using the bootstrap and to perform simulations to determine if the bootstrap is fit for purpose for a particular application. Our approach is to suggest and motivate what could be done in a situation, with an understanding that various options are valid, though they may help answer different questions about a dataset. The tutorial also addresses two widespread misconceptions about the bootstrap: that it makes no assumptions about the data, and that it leads to robust inferences on its own. The tutorial focuses on detailed graphical descriptions, with data and code available online to reproduce the figures and analyses in the article (OSF: https://osf.io/8b4t5/; GitHub: https://github.com/GRousselet/bootstrap).
Inhalational Injury Secondary to House Fire O'Neill, Ryan; Ostro, Benjamin M; Yee, Jennifer
Journal of education & teaching in emergency medicine,
10/2023, Letnik:
8, Številka:
4
Journal Article
Recenzirano
Odprti dostop
AudienceThis scenario was developed to educate emergency medicine residents on the diagnosis and management of patients with an inhalational airway injury secondary to a house fire.BackgroundBurn ...injuries are a common occurrence encountered by the emergency physician. According to the National Hospital Ambulatory Medical Care Survey, around 371,000 patients were treated in emergency departments for fire or burn injuries across the United States in 2020. This represents around 1% of emergency department visits related to injury, poisoning, or adverse effects.1 One of the most dangerous and time critical aspects of managing severely burned patients is inhalation injury. Inhalation injury is a relatively vague term which may refer to pulmonary exposure to a wide range of chemicals in various forms. In the context of burn patients, this is most often smoke exposure. It is critical that the emergency medicine provider rapidly identifies the potential for an inhalational injury in order to determine the need for definitive airway management. It is also important that the provider has the necessary skills and systematic approach to manage what is likely to be a difficult airway. Furthermore, providers must then have the knowledge of how to best manage and resuscitate these severely burned patients post-intubation.Educational ObjectivesAt the conclusion of the simulation session, learners will be able to: 1) recognize the indications for intubation in a thermal burn/inhalation injury patient; 2) develop a systematic approach to an inhalational injury airway; and 3) recognize indications for transfer to burn center.Educational MethodsThis session was conducted using high-fidelity simulation, followed by a debriefing session and lecture on the diagnosis, differential diagnosis, and management of inhalational airway injury secondary to a house fire. Debriefing methods may be left to the discretion of participants, but the authors have utilized advocacy-inquiry techniques. This scenario may also be run as an oral board case.Research MethodsOur residents are provided a survey at the completion of the debriefing session so they may rate different aspects of the simulation, as well as provide qualitative feedback on the scenario. The local institution's simulation center's electronic feedback form is based on the Center of Medical Simulation's Debriefing Assessment for Simulation in Healthcare (DASH) Student Version Short Form2 with the inclusion of required qualitative feedback if an element was scored less than a 6 or 7.ResultsNine learners completed a feedback form. This session received all 6 & 7 scores (consistently effective/very good and extremely effective/outstanding, respectively) other than one isolated 5 score.DiscussionThis is a cost-effective method for reviewing inhalational airway injury diagnosis and management. The case may be modified for targeted audiences, expected resources, and learning objectives, such as removal of a bronchoscope availability in settings which are expected to be resource-limited. Some readers may choose to focus on other aspects of burn management instead of airway securement such as cyanide and/or carbon monoxide toxicity. We encourage readers to limit the number of learning objectives because airway algorithms and troubleshooting for this scenario was a rich, stand-alone debriefing. There was not enough time to review in detail all nuanced aspects of the burned patient, including: Lund-Browder versus rule of 9's, modified Brooke versus Parkland formulas, indications for and completion of escharotomies, and/or identification and treatment of cyanide and carbon monoxide toxicity.TopicsMedical simulation, burns, airway emergencies, emergency medicine.